Bioconductor version: Release (2.11)
Large data files can be difficult to work with in R, where data generally resides in memory. This package encourages a style of programming where data is 'streamed' from disk into R via a `producer' and through a series of `consumers' that, typically reduce the original data to a manageable size. The package provides useful Producer and Consumer stream components for operations such as data input, sampling, indexing, and transformation; see package?Streamer for details.
Author: Martin Morgan, Nishant Gopalakrishnan
Maintainer: Martin Morgan <mtmorgan at fhcrc.org>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Streamer")
To cite this package in a publication, start R and enter:
citation("Streamer")
| R Script | Streamer: A simple example | |
| Reference Manual |
| biocViews | DataImport, Infrastructure, Software |
| Version | 1.4.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) |
| License | Artistic-2.0 |
| Depends | |
| Imports | methods, graph, RBGL, parallel, BiocGenerics |
| Suggests | RUnit, Rsamtools(>= 1.5.53), Rgraphviz |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
| Package Source | Streamer_1.4.0.tar.gz |
| Windows Binary | Streamer_1.4.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) | Streamer_1.4.0.tgz |
| Package Downloads Report | Download Stats |
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